The DOI matches its Crossref record; 280 of the 280 references it cites were found in a registry or an index.
The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity.
Abstract
The authors present a unified account of 2 neural systems concerned with the development and expression of adaptive behaviors: a mesencephalic dopamine system for reinforcement learning and a "generic" error-processing system associated with the anterior cingulate cortex. The existence of the error-processing system has been inferred from the error-related negativity (ERN), a component of the event-related brain potential elicited when human participants commit errors in reaction-time tasks. The authors propose that the ERN is generated when a negative reinforcement learning signal is conveyed to the anterior cingulate cortex via the mesencephalic dopamine system and that this signal is used by the anterior cingulate cortex to modify performance on the task at hand. They provide support for this proposal using both computational modeling and psychophysiological experimentation.
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In the citing paper
“Moreover, studies using fMRI and electrophysiological (error-related negativity) methods in humans, as well as single-unit electrophysiology in experimental animals, have identified the ACC to be a site of computation of prediction errors encoding the difference between expected and obtained outcomes of responding [115–117].”
From The role of prefrontal cortex in cognitive control and executive function (2022) · cites this paper as [116]
In the citing paper
“its functional meaning has shifted from a purely “negative feedback detector” toward a broader index of reinforcement-learning signals, reward prediction error, action–outcome evaluation, and reward positivity modulation [117,118,126,127,128,129].”
In the citing paper
“Classical reinforcement-learning models propose that unexpected unfavourable outcomes produce negative prediction-error signals that are conveyed through dopaminergic and medial-frontal systems and used to update future behaviour [117,118].”
In the citing paper
“In the broader ERP literature, response-locked performance monitoring is usually described as a sequence in which early medial-frontal activity detects conflict, error likelihood, or worse-than-expected outcomes, whereas later positive components support more conscious, evaluative, and metacognitive appraisal of the action that has just been executed [113,116,117,185,186,187].”
In the citing paper
“Earlier components such as ERN are often interpreted in terms of rapid conflict detection, reinforcement-learning signals, or medial-frontal alarm mechanisms, whereas later positive components appear more closely related to conscious appraisal, confidence, and adaptive updating [113,116,117,187].”
In the citing paper
“Unlike the prediction error signals associated with dopamine activity, which are largely reward-focused and associated with model-free RL (Holroyd and Coles, 2002), these respond to incorrect prediction of affectively neutral stimuli.”
From States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning (2010) · cites this paper as Holroyd and Coles, 2002
In the citing paper
“While anterior cingulate cortex was implicated in monitoring conflict between incompatible response processes35 or detecting performance errors36”
From A reservoir of time constants for memory traces in cortical neurons (2011) · cites this paper as [36]
In the citing paper
“However, research and theory suggests that the P3 is more closely related to reward-seeking behaviors (‘wanting’) and the FRN to reward consumption (‘liking’ or ’disliking’) [88,89].”
From Social “wanting” dysfunction in autism: neurobiological underpinnings and treatment implications (2012) · cites this paper as [88]
Citations
Cites
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 25,268
(1994) · DigitalGeorgetown (Georgetown University Library) · Cited by 10,542
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
(1982) · Trends in Neurosciences · doi:10.1016/0166-2236(82)90076-5 · Cited by 9,150
DESCARTES' ERROR: Emotion, Reason, and the Human Brain
Marg, E. (1995) · Optometry and Vision Science · doi:10.1002/j.1538-9235.1995.tb03988.x · Cited by 8,178
Conflict monitoring and cognitive control
Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001) · Psychological Review · doi:10.1037/0033-295x.108.3.624 · Cited by 7,351
Rescorla, R. A. (1972) · Medical Entomology and Zoology · Cited by 7,268
Effects of noise letters upon the identification of a target letter in a nonsearch task
Eriksen, B. A., & Eriksen, C. W. (1974) · Perception & Psychophysics · doi:10.3758/bf03203267 · Cited by 7,230
The ten-twenty electrode system of the international federation
Jasper, H. H. (1958) · Electroencephalography and Clinical Neurophysiology · Cited by 6,567
Cited by
Sorted by citations
Meeting of minds: the medial frontal cortex and social cognition
Amodio, D. M., & Frith, C. D. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1884 · Cited by 3,782
Conflict monitoring and anterior cingulate cortex: an update
Botvinick, M. M., Cohen, J. D., & Carter, C. S. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.10.003 · Cited by 3,623
The role of the medial frontal cortex in cognitive control
Ridderinkhof, K. R., Ullsperger, M., Crone, E. A., & Nieuwenhuis, S. (2004) · Science · doi:10.1126/science.1100301 · Cited by 2,974
Frontal theta as a mechanism for cognitive control
Cavanagh, J. F., & Frank, M. J. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.04.012 · Cited by 2,726
Influence of cognitive control and mismatch on the N2 component of the ERP: A review
Folstein, J. R., & Van Petten, C. (2008) · Psychophysiology · doi:10.1111/j.1469-8986.2007.00602.x · Cited by 2,567
Daw, N. D., Niv, Y., & Dayan, P. (2005) · Nature Neuroscience · doi:10.1038/nn1560 · Cited by 2,533
The expected value of control: an integrative theory of anterior cingulate cortex function
Shenhav, A., Botvinick, M. M., & Cohen, J. D. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.007 · Cited by 2,321
Dopamine in motivational control: rewarding, aversive, and alerting
Bromberg-Martin, E. S., Matsumoto, M., & Hikosaka, O. (2010) · Neuron · doi:10.1016/j.neuron.2010.11.022 · Cited by 2,396
The integration of negative affect, pain and cognitive control in the cingulate cortex
Shackman, A. J., Salomons, T. V., Slagter, H. A., Fox, A. S., Winter, J. J., & Davidson, R. J. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn2994 · Cited by 2,082
By Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonism
Frank, M. J., Seeberger, L. C., & O'Reilly, R. C. (2004) · Science · doi:10.1126/science.1102941 · Cited by 1,964
Inhibition and impulsivity: behavioral and neural basis of response control
Bari, A., & Robbins, T. W. (2013) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.06.005 · Cited by 1,921
The neural basis of error detection: Conflict monitoring and the error-related negativity
Yeung, N., Botvinick, M. M., & Cohen, J. D. (2004) · Psychological Review · doi:10.1037/0033-295x.111.4.931 · Cited by 1,924
The role of prefrontal cortex in cognitive control and executive function
Friedman, N. P., & Robbins, T. W. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01132-0 · Cited by 1,737
“For example, dopamine receptors in the PFC have been related hypothetically to three main elements of CC: gating; maintaining and relaying motor commands; and producing error learning signals [116, 124, 125].”
BackgroundMcEwen, B. S., & Gianaros, P. J. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.05331.x · Cited by 1,715
Decision making, the P3, and the locus coeruleus–norepinephrine system
Nieuwenhuis, S., Aston-Jones, G., & Cohen, J. D. (2005) · Psychological Bulletin · doi:10.1037/0033-2909.131.4.510 · Cited by 1,678
Control and interference in task switching—A review
Kiesel, A., Steinhauser, M., Wendt, M., Falkenstein, M., Jost, K., Philipp, A. M., & Koch, I. (2010) · Psychological Bulletin · doi:10.1037/a0019842 · Cited by 1,485
An opportunity cost model of subjective effort and task performance
Kurzban, R., Duckworth, A., Kable, J. W., & Myers, J. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12003196 · Cited by 1,381
Ridderinkhof, K. R., van den Wildenberg, W. P. M., Segalowitz, S. J., & Carter, C. S. (2004) · Brain and Cognition · doi:10.1016/j.bandc.2004.09.016 · Cited by 1,407
Nieuwenhuis, S., Yeung, N., van den Wildenberg, W., & Ridderinkhof, K. R. (2003) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.3.1.17 · Cited by 1,250
Event perception: a mind-brain perspective
Zacks, J. M., Speer, N. K., Swallow, K. M., Braver, T. S., & Reynolds, J. R. (2007) · Psychological Bulletin · doi:10.1037/0033-2909.133.2.273 · Cited by 1,148
Gläscher, J., Daw, N., Dayan, P., & O'Doherty, J. P. (2010) · Neuron · doi:10.1016/j.neuron.2010.04.016 · Cited by 1,166
Cohen, J. D., McClure, S. M., & Yu, A. J. (2007) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2007.2098 · Cited by 1,121
Conflict monitoring and decision making: Reconciling two perspectives on anterior cingulate function
BOTVINICK, M. M. (2007) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.7.4.356 · Cited by 1,117
Toward a rational and mechanistic account of mental effort
Shenhav, A., Musslick, S., Lieder, F., Kool, W., Griffiths, T. L., Cohen, J. D., & Botvinick, M. M. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-072116-031526 · Cited by 1,077
Anterior cingulate cortex and conflict detection: an update of theory and data
Carter, C. S., & van Veen, V. (2007) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.7.4.367 · Cited by 1,056
Medial prefrontal cortex as an action-outcome predictor
Alexander, W. H., & Brown, J. W. (2011) · Nature Neuroscience · doi:10.1038/nn.2921 · Cited by 1,000
Computational roles for dopamine in behavioural control
Montague, P. R., Hyman, S. E., & Cohen, J. D. (2004) · Nature · doi:10.1038/nature03015 · Cited by 966
Optimal decision making and the anterior cingulate cortex
Kennerley, S. W., Walton, M. E., Behrens, T. E. J., Buckley, M. J., & Rushworth, M. F. S. (2006) · Nature Neuroscience · doi:10.1038/nn1724 · Cited by 948
The reward positivity: From basic research on reward to a biomarker for depression
Proudfit, G. H. (2015) · Psychophysiology · doi:10.1111/psyp.12370 · Cited by 910
Independent Coding of Reward Magnitude and Valence in the Human Brain
Yeung, N., & Sanfey, A. G. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.4537-03.2004 · Cited by 933
Learned predictions of error likelihood in the anterior cingulate cortex
Brown, J. W., & Braver, T. S. (2005) · Science · doi:10.1126/science.1105783 · Cited by 928
Choice, uncertainty and value in prefrontal and cingulate cortex
Rushworth, M. F. S., & Behrens, T. E. J. (2008) · Nature Neuroscience · doi:10.1038/nn2066 · Cited by 866
Segmentation in the perception and memory of events
Kurby, C. A., & Zacks, J. M. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.11.004 · Cited by 776
Beckmann, M., Johansen-Berg, H., & Rushworth, M. F. S. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3328-08.2009 · Cited by 789
Emotion and the prefrontal cortex: an integrative review
Dixon, M. L., Thiruchselvam, R., Todd, R., & Christoff, K. (2017) · Psychological Bulletin · doi:10.1037/bul0000096 · Cited by 745
The N2 in go/no-go tasks reflects conflict monitoring not response inhibition
Donkers, F. C. L., & van Boxtel, G. J. M. (2004) · Brain and Cognition · doi:10.1016/j.bandc.2004.04.005 · Cited by 749
Hold your horses: a dynamic computational role for the subthalamic nucleus in decision making
Frank, M. J. (2006) · Neural Networks · doi:10.1016/j.neunet.2006.03.006 · Cited by 706
Cavanagh, J. F., Cohen, M. X., & Allen, J. J. B. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.4137-08.2009 · Cited by 669
Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective
Botvinick, M. M., Niv, Y., & Barto, A. G. (2009) · Cognition · doi:10.1016/j.cognition.2008.08.011 · Cited by 646
Theta lingua franca: A common mid‐frontal substrate for action monitoring processes
Cavanagh, J. F., Zambrano‐Vazquez, L., & Allen, J. J. B. (2012) · Psychophysiology · doi:10.1111/j.1469-8986.2011.01293.x · Cited by 651
Neurophysiology of performance monitoring and adaptive behavior
Ullsperger, M., Danielmeier, C., & Jocham, G. (2014) · Physiological Reviews · doi:10.1152/physrev.00041.2012 · Cited by 634
Psychological entropy: a framework for understanding uncertainty-related anxiety
Hirsh, J. B., Mar, R. A., & Peterson, J. B. (2012) · Psychological Review · doi:10.1037/a0026767 · Cited by 606
Bridging emotion theory and neurobiology through dynamic systems modeling
Lewis, M. D. (2005) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0500004x · Cited by 618
Motivation of extended behaviors by anterior cingulate cortex
Holroyd, C. B., & Yeung, N. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.12.008 · Cited by 618
Self-citationOverbeek, T. J. M., Nieuwenhuis, S., & Ridderinkhof, K. R. (2005) · Journal of Psychophysiology · doi:10.1027/0269-8803.19.4.319 · Cited by 600
Reinforcement Learning Signal Predicts Social Conformity
Klucharev, V., Hytönen, K., Rijpkema, M., Smidts, A., & Fernández, G. (2009) · Neuron · doi:10.1016/j.neuron.2008.11.027 · Cited by 594
Performance monitoring by the anterior cingulate cortex during saccade countermanding
Ito, S., Stuphorn, V., Brown, J. W., & Schall, J. D. (2003) · Science · doi:10.1126/science.1087847 · Cited by 581
Reward Changes Salience in Human Vision via the Anterior Cingulate
Hickey, C., Chelazzi, L., & Theeuwes, J. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.1026-10.2010 · Cited by 606
“mine system extend to the anterior cingulate cortex (Holroyd and Coles, 2002), consistent with the known connectivity between these areas (Williams and Goldman-Rakic, 1993).”
BackgroundMidbrain Dopamine Neurons Signal Preference for Advance Information about Upcoming Rewards
Bromberg-Martin, E. S., & Hikosaka, O. (2009) · Neuron · doi:10.1016/j.neuron.2009.06.009 · Cited by 548
Integrating Models of Self-Regulation
Inzlicht, M., Werner, K. M., Briskin, J. L., & Roberts, B. W. (2021) · Annual Review of Psychology · doi:10.1146/annurev-psych-061020-105721 · Cited by 594
Hajcak, G., McDonald, N., & Simons, R. F. (2003) · Psychophysiology · doi:10.1111/1469-8986.00107 · Cited by 553
More attention must be paid: The neurobiology of attentional effort
Sarter, M., Gehring, W. J., & Kozak, R. (2006) · Brain Research Reviews · doi:10.1016/j.brainresrev.2005.11.002 · Cited by 552
Nieuwenhuis, S., Holroyd, C. B., Mol, N., & Coles, M. G. H. (2004) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2004.05.003 · Cited by 557
Self-citationThe Emerging Neuroscience of Intrinsic Motivation: A New Frontier in Self-Determination Research
Di Domenico, S. I., & Ryan, R. M. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00145 · Cited by 542
Emotional foundations of cognitive control
Inzlicht, M., Bartholow, B. D., & Hirsh, J. B. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.01.004 · Cited by 542
Reward Processing in Depression: A Conceptual and Meta-Analytic Review Across fMRI and EEG Studies
Keren, H., O’Callaghan, G., Vidal-Ribas, P., Buzzell, G. A., Brotman, M. A., Leibenluft, E., Pan, P. M., Meffert, L., Kaiser, A., Wolke, S., et al. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.17101124 · Cited by 521
Midfrontal conflict-related theta-band power reflects neural oscillations that predict behavior
Cohen, M. X., & Donner, T. H. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00479.2013 · Cited by 494
40 years of cognitive architectures: core cognitive abilities and practical applications
Kotseruba, I., & Tsotsos, J. K. (2020) · Artificial Intelligence Review · doi:10.1007/s10462-018-9646-y · Cited by 539
Developing Mechanisms of Self-Regulation in Early Life
Rothbart, M. K., Sheese, B. E., Rueda, M. R., & Posner, M. I. (2011) · Emotion Review · doi:10.1177/1754073910387943 · Cited by 538
“A key aspect of selfregulation is the ability to detect errors, and the anterior cingulate has also been reported to be central to this capacity (Gehring, Goss, Coles, Meyer, & Donchin, 1993; Holroyd & Coles, 2002).”
BackgroundReward Processing in Schizophrenia: A Deficit in the Representation of Value
Gold, J. M., Waltz, J. A., Prentice, K. J., Morris, S. E., & Heerey, E. A. (2008) · Schizophrenia Bulletin · doi:10.1093/schbul/sbn068 · Cited by 521
ERP Correlates of Feedback and Reward Processing in the Presence and Absence of Response Choice
Yeung, N., Holroyd, C. B., & Cohen, J. D. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhh153 · Cited by 520
Self-citationTheta power as a marker for cognitive interference
Nigbur, R., Ivanova, G., & Stürmer, B. (2011) · Clinical Neurophysiology · doi:10.1016/j.clinph.2011.03.030 · Cited by 482
Frank, M. J., & O'Reilly, R. C. (2006) · Behavioral Neuroscience · doi:10.1037/0735-7044.120.3.497 · Cited by 472
Coles, M. G. H., Scheffers, M. K., & Holroyd, C. B. (2001) · Biological Psychology · doi:10.1016/s0301-0511(01)00076-x · Cited by 484
Self-citationConscious perception of errors and its relation to the anterior insula
Ullsperger, M., Harsay, H. A., Wessel, J. R., & Ridderinkhof, K. R. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0261-1 · Cited by 463
The P300 and reward valence, magnitude, and expectancy in outcome evaluation
Wu, Y., & Zhou, X. (2009) · Brain Research · doi:10.1016/j.brainres.2009.06.032 · Cited by 471
On the relationship between anxiety and error monitoring: a meta-analysis and conceptual framework
Moser, J. S., Moran, T. P., Schroder, H. S., Donnellan, M. B., & Yeung, N. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00466 · Cited by 445
Human dorsal anterior cingulate cortex neurons mediate ongoing behavioural adaptation
Sheth, S. A., Mian, M. K., Patel, S. R., Asaad, W. F., Williams, Z. M., Dougherty, D. D., Bush, G., & Eskandar, E. N. (2012) · Nature · doi:10.1038/nature11239 · Cited by 441
Making sense of all the conflict: A theoretical review and critique of conflict-related ERPs
Larson, M. J., Clayson, P. E., & Clawson, A. (2014) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2014.06.007 · Cited by 454
Hillman, C. H., Buck, S. M., Themanson, J. R., Pontifex, M. B., & Castelli, D. M. (2009) · Developmental Psychology · doi:10.1037/a0014437 · Cited by 440
Jonas, E., McGregor, I., Klackl, J., Agroskin, D., Fritsche, I., Holbrook, C., Nash, K., Proulx, T., & Quirin, M. (2014) · Advances in Experimental Social Psychology · doi:10.1016/b978-0-12-800052-6.00004-4 · Cited by 447
The cognitive neuroscience of schizophrenia.
Barch, D. M. (2005) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.1.102803.143959 · Cited by 437
A neural reward prediction error revealed by a meta-analysis of ERPs using great grand averages
Sambrook, T. D., & Goslin, J. (2015) · Psychological Bulletin · doi:10.1037/bul0000006 · Cited by 411
Recent developments and current controversies in depression
Ebmeier, K. P., Donaghey, C., & Steele, J. D. (2006) · The Lancet · doi:10.1016/s0140-6736(06)67964-6 · Cited by 434
Hayden, B. Y., Heilbronner, S. R., Pearson, J. M., & Platt, M. L. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.4652-10.2011 · Cited by 379
Strategic control and medial frontal negativity: Beyond errors and response conflict
Bartholow, B. D., Pearson, M. A., Dickter, C. L., Sher, K. J., Fabiani, M., & Gratton, G. (2005) · Psychophysiology · doi:10.1111/j.1469-8986.2005.00258.x · Cited by 387
Error-related hyperactivity of the anterior cingulate cortex in obsessive-compulsive disorder
Fitzgerald, K. D., Welsh, R. C., Gehring, W. J., Abelson, J. L., Himle, J. A., Liberzon, I., & Taylor, S. F. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.10.038 · Cited by 378
A parallel and distributed-processing model of joint attention, social cognition and autism
Mundy, P., Sullivan, L., & Mastergeorge, A. M. (2009) · Autism Research · doi:10.1002/aur.61 · Cited by 379
Thakkar, K. N., Polli, F. E., Joseph, R. M., Tuch, D. S., Hadjikhani, N., Barton, J. J. S., & Manoach, D. S. (2008) · Brain · doi:10.1093/brain/awn099 · Cited by 367
Neural Systems for Error Monitoring: Recent Findings and Theoretical Perspectives
Taylor, S. F., Stern, E. R., & Gehring, W. J. (2007) · The Neuroscientist · doi:10.1177/1073858406298184 · Cited by 368
Visual Selective Attention and the Effects of Monetary Rewards
Libera, C. D., & Chelazzi, L. (2006) · Psychological Science · doi:10.1111/j.1467-9280.2006.01689.x · Cited by 365
Event-related potential studies of outcome processing and feedback-guided learning
San Martín, R. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00304 · Cited by 354
Gray, W. D., Sims, C. R., Fu, W.-T., & Schoelles, M. J. (2006) · Psychological Review · doi:10.1037/0033-295x.113.3.461 · Cited by 360
Rewards teach visual selective attention
Chelazzi, L., Perlato, A., Santandrea, E., & Della Libera, C. (2013) · Vision Research · doi:10.1016/j.visres.2012.12.005 · Cited by 354
Fu, C. H. Y., Williams, S. C. R., Cleare, A. J., Scott, J., Mitterschiffthaler, M. T., Walsh, N. D., Donaldson, C., Suckling, J., Andrew, C., Steiner, H., et al. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.04.033 · Cited by 349
Foti, D., & Hajcak, G. (2009) · Biological Psychology · doi:10.1016/j.biopsycho.2008.12.004 · Cited by 341
Development of response-monitoring ERPs in 7-to 25-year-olds
Davies, P. L., Segalowitz, S. J., & Gavin, W. J. (2004) · Developmental Neuropsychology · doi:10.1207/s15326942dn2503_6 · Cited by 339
Teper, R., & Inzlicht, M. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss045 · Cited by 323
Wahlstrom, D., Collins, P., White, T., & Luciana, M. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2009.10.013 · Cited by 311
Potts, G. F., Martin, L. E., Burton, P., & Montague, P. R. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.7.1112 · Cited by 316
Martel, M. M. (2009) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2009.02105.x · Cited by 306
Decision processes in human performance monitoring
Steinhauser, M., & Yeung, N. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.1899-10.2010 · Cited by 284
van den Bos, W., Cohen, M. X., Kahnt, T., & Crone, E. A. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr198 · Cited by 276
Learning-related changes in reward expectancy are reflected in the feedback-related negativity
Bellebaum, C., & Daum, I. (2008) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2008.06138.x · Cited by 299
Activity in human reward-sensitive brain areas is strongly context dependent
Nieuwenhuis, S., Heslenfeld, D. J., Alting von Geusau, N. J., Mars, R. B., Holroyd, C. B., & Yeung, N. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.043 · Cited by 289
Self-citationCreativity as flexible cognitive control
Zabelina, D. L., & Robinson, M. D. (2010) · Psychology of Aesthetics, Creativity, and the Arts · doi:10.1037/a0017379 · Cited by 294
A reservoir of time constants for memory traces in cortical neurons
Bernacchia, A., Seo, H., Lee, D., & Wang, X.-J. (2011) · Nature Neuroscience · doi:10.1038/nn.2752 · Cited by 292
ERP correlates of conscious error recognition: Aware and unaware errors in an antisaccade task
Endrass, T., Reuter, B., & Kathmann, N. (2007) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2007.05785.x · Cited by 290
Velanova, K., Wheeler, M. E., & Luna, B. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn012 · Cited by 277
Learning From EEG Error-Related Potentials in Noninvasive Brain-Computer Interfaces
Chavarriaga, R., & Millan, J. D. R. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2010.2053387 · Cited by 277
Metadata
- Authors
- Holroyd, C. B., & Coles, M. G. H.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- ORCID
- Holroyd, Clay B.
- Venue
- Psychological Review
- Published
- 2002-10
- Volume
- 109
- Issue
- 4
- Pages
- 679-709
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2135572147
- Semantic Scholar
- a497b6f27fa708805f5dab7b7470509e72deb8b2
- Cited by
- 4,027
- References
- 280
- Citations by year
- 2026: 125 · 2025: 172 · 2024: 145 · 2023: 138 · 2022: 152 · 2021: 193 · 2020: 188 · 2019: 188 · 2018: 220 · 2017: 219 · 2016: 218 · 2015: 246 · 2014: 244 · 2013: 219 · 2012: 204
- FWCI
- 30.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Review (publishedVersion)
- PubMed (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- Funders
- National Institutes of Health (5r01mh041445-13, 5f31mh011530-04)
- National Institute of Mental Health (MH41445, MH11530)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Social Sciences › Arts and Humanities › Philosophy › Free Will and Agency
- Keywords
- error processing, error-related negativity, reinforcement learning, dopamine, anterior cingulate cortex, negative reinforcement, adaptive behavior, event-related potentials, reaction time task, computational modeling
- MeSH terms
- Analysis of Variance, Brain Mapping, Dopamine, Humans, Models, Neurological, Motor Cortex, Probability Learning, Reinforcement, Psychology
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